Systems Engineering

Build fast, secure and portable applications with WASI. Start with the fundamentals, then move into components, WIT, Wasmtime and real production patterns using Rust, C, Go and JavaScript. From sandboxed plugins to serverless and edge workloads, this practical guide gives you the skills to take WebAssembly from your first experiment to production.

Build crawlers that perform at scale without becoming a security liability, then learn to spot and stop the bots targeting your systems. Packed with production-ready code, real-world architectures and practical case studies, this book takes you deep into crawling, fingerprinting, bot detection, WAFs, machine learning and incident response.

Build OpenStack with confidence, from your first deployment to production at scale. This hands-on guide walks you through planning, configuration, security, daily operations and troubleshooting with practical examples and proven techniques. A dependable resource for admins, DevOps engineers and cloud architects.

Master Asterisk from the ground up and build a PBX you can trust in production. This practical handbook walks you through installation, SIP, voicemail, IVRs, queues, security, APIs, high availability and more, with annotated configs, exact commands and troubleshooting guidance you can actually use.

Master OpenTofu from the ground up with practical examples, proven patterns and expert guidance for real-world infrastructure. Whether you are migrating from Terraform or starting fresh, this book helps you build reliable, secure and maintainable cloud and on-premises environments with confidence.

Build, secure and run reliable mail servers with confidence. This practical guide walks you through Postfix and Dovecot from the ground up, covering everything from core email protocols to high availability, performance tuning and automation. Packed with real configurations and clear explanations you can use in production.

Learn to build fast, scalable asynchronous applications in C with libuv, the cross-platform library behind Node.js. Through practical examples and clear explanations, you'll master event-driven programming and write high-performance software that runs efficiently across Linux, macOS and Windows.

From your first JAX script to large-scale AI systems, this book shows how to write faster, cleaner Python for modern computing. Learn the ideas behind JAX through practical examples, real projects and clear explanations that help you build everything from scientific simulations to distributed machine learning.

If you know Linux, you already have most of the skills you need to master FreeBSD. This practical guide shows where the systems differ, why those differences matter and how to deploy, secure and manage FreeBSD with confidence using comparisons that make every concept easy to understand.

Memory is at the heart of Linux performance. This book explains how the kernel manages it from virtual memory and page allocation to NUMA, cgroups and real-world optimization. Learn through clear explanations, kernel source examples and practical exercises you can run yourself.

Frameworks make it easy to get started, but they often hide the fundamentals. This book takes you back to the core ideas behind reliable software, showing how to build fast, maintainable systems with fewer dependencies and better engineering decisions. Write software you truly understand and control.

Modern software delivery demands more than fast pipelines. It requires systems built for reliability, security and scale. This book shows how to design and run CI/CD as a production platform, with practical patterns, real world examples and proven strategies that help teams deliver software with confidence.

Cloud, Kubernetes, AI, security and automation have changed what DevOps really means. This book cuts through the hype with practical guidance for building reliable, scalable platforms using proven patterns, real production lessons and modern engineering practices that help teams move faster without sacrificing stability.

Software teams are building faster than ever, but scaling engineering takes more than great code. This book shows how to create developer platforms that simplify delivery, support cloud-native systems and prepare organizations for the demands of AI. Practical, technical and grounded in real-world experience.

Master SysML v2 from the ground up with a clear, practical guide that bridges theory and real engineering. Explore the language, its formal foundations and proven modeling techniques through hands-on examples and industry case studies across aerospace, robotics, medical devices, telecommunications and more.